Retinal image registration using creases as anatomical landmarks

David Lloret, Joan Serrat, Antonio M. López, Andrés Soler, Juan J. Villanueva

    Research output: Contribution to journalArticleResearchpeer-review

    16 Citations (Scopus)

    Abstract

    Retinal images are routinely used in ophthalmology to study the optical nerve head and the retina. To assess objectively the evolution of an illness, images taken at different times must be registered. Most methods appeared so far have been designed specifically for a single image modality, like temporal series or stereo pairs of angiographies, fluorescein angiographies or SLO images, which makes them prone to fail when conditions vary. In contrast, the method we propose has shown to be accurate and reliable on all the former modalities. Actually, it has been adapted from the 3D registration of CT and MR image to 2D. Relevant features (also known as landmarks) are extracted by means of a robust creaseness operator, and resulting images are iteratively transformed until a maximum in their correlation is achieved. Our method has succeed in more than 100 pairs tried so far, in all cases including also the scaling as a parameter to be optimized. © 2000 IEEE.
    Original languageEnglish
    Pages (from-to)203-206
    JournalProceedings - International Conference on Pattern Recognition
    Volume15
    Issue number3
    Publication statusPublished - 1 Dec 2000

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